Remote Data Jobs · US

Job listings

Support an existing Data Warehouse development team with PowerBI, PowerApps, Oracle Analytics, Data Warehousing and other areas where analysis is needed. Work closely with business stakeholders, data engineers, and BI developers to analyze requirements, design data models, and build systems that can deliver actionable insights through robust reporting tools. Assist users with integrating PowerBI and PowerApps.

US Unlimited PTO

As a Senior Growth Business Analyst at Huckleberry, you will be a key driver in shaping the strategy of our new revenue initiatives through advanced analytics and insight. You will analyze how families discover Huckleberry across marketing channels, attribution sources, and platforms, and how they move through our web and app funnels, onboarding experiences, upsell flows, and purchase paths. You will also play a pivotal role in strengthening analytics maturity across the company.

An experienced Data Engineer is needed to design, develop, and manage a global music data platform and ecosystem. This role will be responsible for advanced development of our enterprise data platform, orchestrating the full lifecycle of our production data, including ingress, egress, storage, federation, lineage, insights, and analytics across multiple sources and targets. The position offers the ideal candidate an opportunity to be a thought leader and influencer within and across the department, company, and market.

$72,813–$89,341/yr
US 4w PTO

The Business Intelligence Developer brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in the organization to make informed decisions. The Business Intelligence Developer will have an intermediate understanding of the company’s databases, business intelligence (BI) tools, and existing reports and act as a resource in internal and external meetings.

We are looking for an experienced Machine Learning Engineer to join our team to develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.

Architect, build, and optimize high-performance cloud-based data solutions on Google Cloud Platform (GCP). Play a critical role in transforming complex business requirements into scalable and secure architectures that support data-driven decision-making. Working closely with cross-functional teams, design robust ETL/ELT pipelines, optimize BigQuery warehouses, and ensure strong data governance and security standards. This position emphasizes technical leadership, mentorship, and collaboration.

$165,000–$200,000/yr

This role leads the data engineering practice, overseeing data engineering, analytics, machine learning, and data science initiatives across complex, large-scale projects. You will set technical direction, define standards, and ensure delivery excellence while actively mentoring and managing a team of engineers. Working closely with cross-functional stakeholders, you will drive architecture decisions, implement scalable data solutions, and apply your expertise to optimize client outcomes.

$58,240–$83,200/yr

The ideal candidate will perform a range of tasks to support daily operations, contribute to team goals, and uphold our standards of excellence. This role requires a proactive attitude, a willingness to learn, and a commitment to quality and professionalism. Support day-to-day operations and team functions. Maintain accuracy and attention to detail in assigned tasks. Communicate effectively with team members and clients. Adhere to company policies, procedures, and deadlines.

Trility Consulting is seeking a Senior Data Analyst who is a powerhouse on the keyboard and a strategic partner to the client’s Data team. In this role, you’ll take data from hidden gems to fully documented, cataloged, and actionable insights, driving the Data Enablement Initiative forward. You’ll lead interviews with stakeholders and subject matter experts, uncovering context and ensuring datasets and data products are enriched.